{"created":"2023-06-19T09:18:51.528498+00:00","id":4451,"links":{},"metadata":{"_buckets":{"deposit":"9c1d5f24-2787-41d3-89c3-930dfd52ceb5"},"_deposit":{"created_by":15,"id":"4451","owners":[15],"pid":{"revision_id":0,"type":"depid","value":"4451"},"status":"published"},"_oai":{"id":"oai:aichi-pu.repo.nii.ac.jp:00004451","sets":["199:258:500"]},"author_link":["8352"],"item_10010_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"2019年度修士論文要旨, 情報科学研究科システム科学専攻","subitem_description_type":"Other"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"島﨑, 正太"},{"creatorName":"シマザキ, ショウタ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-03-30"}],"displaytype":"detail","filename":"r1_m11shimazaki.pdf","filesize":[{"value":"957.4 kB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"r1_m11shimazaki.pdf","url":"https://aichi-pu.repo.nii.ac.jp/record/4451/files/r1_m11shimazaki.pdf"},"version_id":"8678a9f5-d5fc-48ce-b95c-ff1cd6ab52db"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"other","resourceuri":"http://purl.org/coar/resource_type/c_1843"}]},"item_title":"敵対的生成ネットワークによる疑似訓練データを用いた深層学習に基づく脈波形状からのカフレス血圧推定","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"敵対的生成ネットワークによる疑似訓練データを用いた深層学習に基づく脈波形状からのカフレス血圧推定"}]},"item_type_id":"10010","owner":"15","path":["500"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-30"},"publish_date":"2021-03-30","publish_status":"0","recid":"4451","relation_version_is_last":true,"title":["敵対的生成ネットワークによる疑似訓練データを用いた深層学習に基づく脈波形状からのカフレス血圧推定"],"weko_creator_id":"15","weko_shared_id":-1},"updated":"2023-06-19T09:57:07.354463+00:00"}